People with disabilities disproportionately experience negative health outcomes. Purposeful
analysis of information on all aspects of the experience of disability across individuals and …

Background There is increased interest in using artificial intelligence (AI) to provide
participation-focused pediatric re/habilitation. Existing reviews on the use of AI in …

Neurologic disability level at hospital discharge is an important outcome in many clinical
research studies. Outside of clinical trials, neurologic outcomes must typically be extracted …

Customizing participation-focused pediatric rehabilitation interventions is an important but
also complex and potentially resource intensive process, which may benefit from automated …

Background: Invaluable information on patient functioning and the complex interactions that
define it is recorded in free text portions of the Electronic Health Record (EHR). Leveraging …

Natural language processing (NLP) research combines the study of universal principles,
through basic science, with applied science targeting specific use cases and settings …

Purpose To address the feasibility, reliability and internal validity of natural language
processing (NLP) for automated functional assessment of hospitalised COVID-19 patients in …

Artificial intelligence is transforming the way we work with information across disciplines and
practical contexts. A growing range of disciplines are now involved in studying, developing …

Objective Natural language processing (NLP) can enhance research on activities of daily
living (ADL) by extracting structured information from unstructured electronic health records …

Natural language processing (NLP) in health care enables transformation of complex
narrative information into high value products such as clinical decision support and adverse …